Cluster head election and rotation for medical-based wireless sensor networks

Mathur, Avijit; Newe, Thomas; Rao, Muzaffar; Elgenaidi, Walid; Toal, Daniel

doi:10.1109/codit.2017.8102582

Cited by 3 publications

(2 citation statements)

References 18 publications

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“…As unique wireless self-organizing networks, WSNs have fast and convenient deployment features and complete monitoring capabilities. WSNs are thus usually deployed in hazardous and inaccessible terrain and are used for defense, environmental monitoring, and medical care applications [5][6][7].…”

Section: Introductionmentioning

confidence: 99%

CARA: A Congestion-Aware Routing Algorithm for Wireless Sensor Networks

Yan

2021

Algorithms

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Congestion control is one of the key research topics in relation to the routing algorithms of wireless sensor networks (WSNs). In this paper, we propose a congestion-aware routing algorithm (CARA) for unlimited-lifetime wireless sensor networks by integrating the geographic distance and traffic load of sensor nodes. The algorithm takes alleviating congestion as the primary purpose and considers the traffic of the node itself and local network traffic. According to the geographic distance between nodes, CARA defines four decision parameters (node load factor, forward rate, cache remaining rate, and forward average cache remaining rate), selecting the best node as the next-hop through the multi-attribute decision-making method. Compared with the two existing algorithms for congestion control, our simulation results suggest that the CARA algorithm alleviates network congestion and meets reasonable network delay and energy consumption requirements.

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Section: Introductionmentioning

confidence: 99%

CARA: A Congestion-Aware Routing Algorithm for Wireless Sensor Networks

Yan

2021

Algorithms

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“…Cluster Head (CH) election algorithms such as [5], [6], [7] are receiving increasing attention as they provide a mechanism for the network devices to collaboratively trade-off the number of costly transmissions they make over the cellular network with the number of less costly p2p transmissions (using a technology such as WiFi-Direct [8]). By cost we mean the burden placed on the battery of a mobile.…”

Section: Introductionmentioning

confidence: 99%

Distance-based Cluster Head Election for Mobile Sensing

Fréin¹,

OrFarrell²

2018

2018 12th International Conference on Sensing Technology (ICST)

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Energy-efficient, fair, stochastic leader-selection algorithms are designed for mobile sensing scenarios which adapt the sensing strategy depending on the mobile sensing topology. Methods for electing a cluster head are crucially important when optimizing the trade-off between the number of peer-topeer interactions between mobiles and client-server interactions with a cloud-hosted application server. The battery-life of mobile devices is a crucial constraint facing application developers who are looking to use the convergence of mobile computing and cloud computing to perform environmental sensing. We exploit the mobile network topology, specifically the location of mobiles with respect to the gateway device, to stochastically elect a cluster head so that (1) different energy saving policies can be implemented and (2) battery lifetime is increased given an energy efficiency policy, in a fair way. We demonstrate that the battery usage can be made more fair by reducing the difference in battery lifetime of mobiles by up to 66%.

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A Prediction-Based Charging Policy and Interference Mitigation Approach in the Wireless Powered Internet of Things

Yang

Zhang

et al. 2019

IEEE J. Select. Areas Commun.

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Cluster head election and rotation for medical-based wireless sensor networks

Cited by 3 publications

References 18 publications

CARA: A Congestion-Aware Routing Algorithm for Wireless Sensor Networks

CARA: A Congestion-Aware Routing Algorithm for Wireless Sensor Networks

Distance-based Cluster Head Election for Mobile Sensing

A Prediction-Based Charging Policy and Interference Mitigation Approach in the Wireless Powered Internet of Things

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